Fuzzy-Logic Based Distributed Energy-Efficient Clustering Algorithm For Wireless Sensor Networks

Keywords

Distributed clustering; Load balance; Neighbor nodes’ energy; Non-uniform distribution; TSK fuzzy model

Abstract

Due to the high-energy efficiency and scalability, the clustering routing algorithm has been widely used in wireless sensor networks (WSNs). In order to gather information more efficiently, each sensor node transmits data to its Cluster Head (CH) to which it belongs, by multi-hop communication. However, the multi-hop communication in the cluster brings the problem of excessive energy consumption of the relay nodes which are closer to the CH. These nodes’ energy will be consumed more quickly than the farther nodes, which brings the negative influence on load balance for the whole networks. Therefore, we propose an energy-efficient distributed clustering algorithm based on fuzzy approach with non-uniform distribution (EEDCF). During CHs’ election, we take nodes’ energies, nodes’ degree and neighbor nodes’ residual energies into consideration as the input parameters. In addition, we take advantage of Takagi, Sugeno and Kang (TSK) fuzzy model instead of traditional method as our inference system to guarantee the quantitative analysis more reasonable. In our scheme, each sensor node calculates the probability of being as CH with the help of fuzzy inference system in a distributed way. The experimental results indicate EEDCF algorithm is better than some current representative methods in aspects of data transmission, energy consumption and lifetime of networks.

Publication Date

7-3-2017

Publication Title

Sensors (Switzerland)

Volume

17

Issue

7

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.3390/s17071554

Socpus ID

85021772372 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85021772372

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